GStudyPerType

GStudyPerType: This function is mainly used within calculateVarCov.R, but can be executed on its own to determine the reliability coefficient and SEM for a dataset with a single type of assessment.

The reliability of assessment tools is a crucial aspect of monitoring student performance in various educational settings. It ensures that the assessment outcomes accurately reflect a student's true level of performance. However, when assessments are combined, determining composite reliability can be challenging, especially for naturalistic and unbalanced datasets. This package provides an easy-to-use solution for calculating composite reliability for different assessment types. It allows for the inclusion of weight per assessment type and produces extensive G- and D-study results with graphical interpretations. Overall, our approach enhances the reliability of composite assessments, making it suitable for various education contexts.

Joyce Moonen - van Loon

CompositeReliability

Determine the Composite Reliability of a Naturalistic,
Unbalanced Dataset

GStudyPerType function

<dl><dt>dataPerAssessmentType</dt>
<dd>A dataframe containing columns ID, Type, Score (numeric), with only one value in column Type</dd></dl>

Arguments

GStudyPerType: This function is mainly used within calculateVarCov.R, but can be executed on its own to determine the reliability coefficient and SEM for a dataset with a single type of assessment. — GStudyPerType

<dl>

<dt>dataPerAssessmentType</dt>
<dd>A dataframe containing columns ID, Type, Score (numeric), with only one value in column Type</dd>

</dl>

GStudyPerType: This function is mainly used within calculateVarCov.R, but can be executed on its own to determine the reliability coefficient and SEM for a dataset with a single type of assessment.

GStudyPerType: GStudyPerType: This function is mainly used within calculateVarCov.R, but can be executed on its own to determine the reliability coefficient and SEM for a dataset with a single type of assessment.

Description

Usage

Value

Arguments